The origins and genetic interactions of KRAS mutations are allele- and tissue-specific.
The origins and genetic interactions of KRAS mutations are allele- and tissue-specific.
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DOI:
10.1038/s41467-021-22125-z
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发表时间:
2021-03-22
影响因子:
16.6
通讯作者:
Haigis KM
中科院分区:
文献类型:
--
作者:
Cook JH;Melloni GEM;Gulhan DC;Park PJ;Haigis KM
Mutational activation of KRAS promotes the initiation and progression of cancers, especially in the colorectum, pancreas, lung, and blood plasma, with varying prevalence of specific activating missense mutations. Although epidemiological studies connect specific alleles to clinical outcomes, the mechanisms underlying the distinct clinical characteristics of mutant KRAS alleles are unclear. Here, we analyze 13,492 samples from these four tumor types to examine allele- and tissue-specific genetic properties associated with oncogenic KRAS mutations. The prevalence of known mutagenic mechanisms partially explains the observed spectrum of KRAS activating mutations. However, there are substantial differences between the observed and predicted frequencies for many alleles, suggesting that biological selection underlies the tissue-specific frequencies of mutant alleles. Consistent with experimental studies that have identified distinct signaling properties associated with each mutant form of KRAS, our genetic analysis reveals that each KRAS allele is associated with a distinct tissue-specific comutation network. Moreover, we identify tissue-specific genetic dependencies associated with specific mutant KRAS alleles. Overall, this analysis demonstrates that the genetic interactions of oncogenic KRAS mutations are allele- and tissue-specific, underscoring the complexity that drives their clinical consequences. The KRAS gene is often mutated at several hotspot codons in cancer, resulting in similar, yet distinct, functional impacts on the KRAS protein. Here, the authors examine the genetic interactions of the different KRAS mutations across multiple cancer types and discover that KRAS mutations have allele- and tissue-specific mutagenic origins, comutation patterns, and dependency interactions.
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影响因子:
64.8
作者:
GTEx Consortium;Laboratory, Data Analysis &Coordinating Center (LDACC)—Analysis Working Group;Statistical Methods groups—Analysis Working Group;Enhancing GTEx (eGTEx) groups;NIH Common Fund;NIH/NCI;NIH/NHGRI;NIH/NIMH;NIH/NIDA;Biospecimen Collection Source Site—NDRI;Biospecimen Collection Source Site—RPCI;Biospecimen Core Resource—VARI;Brain Bank Repository—University of Miami Brain Endowment Bank;Leidos Biomedical—Project Management;ELSI Study;Genome Browser Data Integration &Visualization—EBI;Genome Browser Data Integration &Visualization—UCSC Genomics Institute, University of California Santa Cruz;Lead analysts:;Laboratory, Data Analysis &Coordinating Center (LDACC):;NIH program management:;Biospecimen collection:;Pathology:;eQTL manuscript working group:;Battle A;Brown CD;Engelhardt BE;Montgomery SB
通讯作者:
Montgomery SB
影响因子:
3.6
作者:
Bournet B;Muscari F;Buscail C;Assenat E;Barthet M;Hammel P;Selves J;Guimbaud R;Cordelier P;Buscail L
通讯作者:
Buscail L
影响因子:
9.3
作者:
Brubaker, Douglas K.;Paulo, Joao A.;Haigis, Kevin M.
通讯作者:
Haigis, Kevin M.
影响因子:
7
作者:
Angrand, Pierre-Olivier;Segura, Inmaculada;Acker-Palmer, Amparo
通讯作者:
Acker-Palmer, Amparo
影响因子:
64.5
作者:
Cancer Genome Atlas Network
通讯作者:
Cancer Genome Atlas Network